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What you can do with Manimgx

ManimGX is an animation engine that renders Manim CE-style 2D and 3D Python scenes to MP4 video or to a web page, using a Rust and wgpu core.

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academa-labs/manimgx on GitHub

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What do you want to do?

4 use cases

  • Render a 3D Python scene to a 1080p60 MP4

    Write a Manim-style 3D scene in Python and render it to a 1080p60 MP4 with one command.

    View prompt
    Using the manimgx repo at github.com/academa-labs/manimgx, write a scene.py file with a ThreeDScene subclass that animates <target topic>, then run manimgx render scene.py. Expected output: a 1080p60 MP4 named after the scene class. Verify that the MP4 exists and plays from start to end.

  • Have an AI agent build and open a 3D animation

    Paste one prompt into a coding agent and get an installed, rendered 3D animation back.

    View prompt
    Follow https://manimgx.academa.ai/llms.txt, install ManimGX, and make a 3D animation of <topic>. Expected output: a rendered MP4 that you open for the user. Verify that the video shows the <topic> scene from start to end.

  • Make a narrated explainer video synced to speech

    Match 3D and math animations to spoken narration using self.say() in a Python scene.

    View prompt
    Using the manimgx repo at github.com/academa-labs/manimgx, write a scene.py for <target lesson> that uses self.say() to sync narration with self.play() animations, then run manimgx render scene.py. Expected output: an MP4 with speech-synced animations. Verify that each animation starts at the matching spoken line.

  • Embed a ManimGX scene in a web page

    Run a Python scene in the browser with Pyodide and WebGPU, with no render server.

    View prompt
    Using the manimgx repo at github.com/academa-labs/manimgx, add a ManimGX scene to the web page at <target page> following the embed guide, installing with npm install manimgx. Expected output: the scene renders in the browser. Verify that the page renders the scene in a WebGPU-capable browser without a render server.

How to use Manimgx

  1. Check you have what it needs: Python 3.13 or newer for the pip install route; Node.js and npm for the browser route (npm install manimgx); A browser with WebGPU support to view scenes in the web page.
  2. Open academa-labs/manimgx on GitHub and read the README and license.
  3. Install Python 3.13 or newer on macOS, Linux or Windows.
  4. Run pip install manimgx
  5. Save the Hello3D example from the README as scene.py.
  6. Run manimgx render scene.py

These steps come from our top use case, Render a 3D Python scene to a 1080p60 MP4, which also has a copy-paste agent prompt.

Manimgx alternatives · Best AI repos for Content

About this repo

Requirements

  • Python 3.13 or newer for the pip install route
  • Node.js and npm for the browser route (npm install manimgx)
  • A browser with WebGPU support to view scenes in the web page
  • An AI coding agent such as Claude Code, Codex or Cursor, only for the prompt-driven route
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Questions about Manimgx

What is Manimgx?

ManimGX is an animation engine that renders Manim CE-style 2D and 3D Python scenes to MP4 video or to a web page, using a Rust and wgpu core. It is an open-source project on GitHub: https://github.com/academa-labs/manimgx.

Who is Manimgx for?

Educators, developers and AI agents who want to produce math and 3D explainer videos from Python code quickly.

What can I do with Manimgx?

4 use cases so far, for example: Render a 3D Python scene to a 1080p60 MP4; Have an AI agent build and open a 3D animation; Make a narrated explainer video synced to speech. Each has steps and a copy-paste agent prompt.

What do I need to run Manimgx?

Python 3.13 or newer for the pip install route; Node.js and npm for the browser route (npm install manimgx); A browser with WebGPU support to view scenes in the web page; An AI coding agent such as Claude Code, Codex or Cursor, only for the prompt-driven route.

What are alternatives to Manimgx?

Other hot AI repos in Content: Voice Studio, Anatomy, Comfy UI, Hyperframes, Earshot.

Is Manimgx safe to run?

Deduped does not own, audit or vouch for it. Read the README and license, run it on your own systems first and review every command before you run it.